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A Hybrid RANS-LES Perspective for the High Lift Common Research Model Using LAVAAn assessment of a Hybrid RANS/LES (HRLES) approach for𝐶𝐿,max prediction is presented for the NASA High-Lift Common Research Model (CRM-HL). Both the free air and the wind tunnel configuration of the CRM-HL are investigated and the results are compared to the QinetiQ wind tunnel experiments and to two other numerical approaches: Reynolds Averaged Navier-Stokes (RANS) and Wall-Modeled Large Eddy Simulations (WMLES). For the free-air configuration, HRLES was shown to address some of the known shortcomings in RANS methods and prevent inboard and outboard flow separation particularly in the region of𝐶𝐿,max and post-stall. To achieve these improvements over RANS, LES-appropriate grids and numerical discretizations are required. HRLES predicts a weak pitch break at the highest angle-of-attack due to onset of wing-root corner flow separation whereas the free-air corrected experiment values indicate an occurrence of a much stronger pitch break. The improvements of HRLES over a URANS approach has been objectively shown by computing a set of solutions with the same grid, same numerics and time-step size and comparing the solutions. It was also found that when applying HRLES to a RANS best practice grid and numerics that the HRLES method significantly under performed RANS. For the in tunnel configuration, HRLES showed good agreement with the loads, surface pressure and oil-flow photographs obtained in the experiment. HRLES was able to improve upon the RANS simulations, which showed a sharp loss of lift at the two highest angles-of-attack due to large scale inboard and outboard separation on the wing, by correctly predicting the corner flow separation and showing remarkably close agreement in the flow topologies with the experiment.
Document ID
20220007955
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Oliver M F Browne
(Science and Technology Corporation (United States) Hampton, Virginia, United States)
Jeffrey A Housman
(Ames Research Center Mountain View, California, United States)
Gaetan K Kenway
(Science and Technology Corporation (United States) Hampton, Virginia, United States)
Aditya S Ghate
(Science and Technology Corporation (United States) Hampton, Virginia, United States)
Cetin C Kiris
(Ames Research Center Mountain View, California, United States)
Date Acquired
May 20, 2022
Subject Category
Aeronautics (General)
Meeting Information
Meeting: AIAA Aviation Forum and Exposition 2022
Location: Chicago, IL
Country: US
Start Date: June 27, 2022
End Date: July 1, 2022
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 109492.02.01.09.01
CONTRACT_GRANT: NNA16BD60C
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
TTT
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